Detail publikace

Efficient Media Exploitation Towards Collective Intelligence

Originální název

Efficient Media Exploitation Towards Collective Intelligence

Anglický název

Efficient Media Exploitation Towards Collective Intelligence

Jazyk

en

Originální abstrakt

In this work we propose intelligent, automated content analysis techniques for different media to extract knowledge from the multimedia content. Information derived from different sources/modalities will be analyzed and fused, in terms of spatiotemporal, personal and even social contextual information. In order to achieve this goal, semantic analysis will be applied to the content items, taking into account the content itself (e.g. text, images and video), as well as existing personal, social and contextual information (e.g. semantic and machine-processable metadata and tags). The above process exploits the so-called "Media Intelligence" towards the ultimate goal of identifying "Collective Intelligence", emerging from the collaboration and competition among people, empowering innovative services and user interactions. The utilization of "Media Intelligence" constitutes a departure from traditional methods for information sharing, since semantic multimedia analysis has to fuse information from both the content itself and the social context, while at the same time the social dynamics have to be taken into account. Such intelligence provides added-value to the available multimedia content and renders existing procedures and research efforts more efficient.

Anglický abstrakt

In this work we propose intelligent, automated content analysis techniques for different media to extract knowledge from the multimedia content. Information derived from different sources/modalities will be analyzed and fused, in terms of spatiotemporal, personal and even social contextual information. In order to achieve this goal, semantic analysis will be applied to the content items, taking into account the content itself (e.g. text, images and video), as well as existing personal, social and contextual information (e.g. semantic and machine-processable metadata and tags). The above process exploits the so-called "Media Intelligence" towards the ultimate goal of identifying "Collective Intelligence", emerging from the collaboration and competition among people, empowering innovative services and user interactions. The utilization of "Media Intelligence" constitutes a departure from traditional methods for information sharing, since semantic multimedia analysis has to fuse information from both the content itself and the social context, while at the same time the social dynamics have to be taken into account. Such intelligence provides added-value to the available multimedia content and renders existing procedures and research efforts more efficient.

BibTex


@inbook{BUT55356,
  author="Yannis {Avrithis} and Phivos {Mylonas} and Vassilios {Solachidis} and Andreas {Geyer-Schultz} and Betina {Hoser} and Sam {Chapman} and Fabio {Ciravenga} and Stefen {Staab} and Pavel {Smrž} and Yiannis {Kompatsiaris}",
  title="Efficient Media Exploitation Towards Collective Intelligence",
  annote="In this work we propose intelligent, automated content analysis
techniques for different media to extract knowledge from the
multimedia content. Information derived from different
sources/modalities will be analyzed and fused, in terms of
spatiotemporal, personal and even social contextual information.
In order to achieve this goal, semantic analysis will be applied
to the content items, taking into account the content itself (e.g.
text, images and video), as well as existing personal, social and
contextual information (e.g. semantic and machine-processable
metadata and tags). The above process exploits the so-called
"Media Intelligence" towards the ultimate goal of identifying
"Collective Intelligence", emerging from the collaboration and
competition among people, empowering innovative services and user
interactions. The utilization of "Media Intelligence"
constitutes a departure from traditional methods for information
sharing, since semantic multimedia analysis has to fuse
information from both the content itself and the social context,
while at the same time the social dynamics have to be taken into
account. Such intelligence provides added-value to the available
multimedia content and renders existing procedures and research
efforts more efficient.",
  address="Springer Verlag",
  booktitle="Advances in Data Analysis, Data Handling and Business Intelligence",
  chapter="55356",
  edition="Studies in Classification, Data Analysis, and Knowledge Organization",
  howpublished="print",
  institution="Springer Verlag",
  year="2010",
  month="january",
  pages="723--732",
  publisher="Springer Verlag",
  type="book chapter"
}